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Costa, Veber, Fernandes, Wilson, Naghettini, Mauro (2015) A Bayesian model for stochastic generation of daily precipitation using an upper-bounded distribution function. Stochastic Environmental Research and Risk Assessment, 29 (2). 563-576 doi:10.1007/s00477-014-0880-9

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Reference TypeJournal (article/letter/editorial)
TitleA Bayesian model for stochastic generation of daily precipitation using an upper-bounded distribution function
JournalStochastic Environmental Research and Risk Assessment
AuthorsCosta, VeberAuthor
Fernandes, WilsonAuthor
Naghettini, MauroAuthor
Year2015 (February)Volume29
Issue2
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-014-0880-9Search in ResearchGate
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Mindat Ref. ID9339975Long-form Identifiermindat:1:5:9339975:1
GUID0
Full ReferenceCosta, Veber, Fernandes, Wilson, Naghettini, Mauro (2015) A Bayesian model for stochastic generation of daily precipitation using an upper-bounded distribution function. Stochastic Environmental Research and Risk Assessment, 29 (2). 563-576 doi:10.1007/s00477-014-0880-9
Plain TextCosta, Veber, Fernandes, Wilson, Naghettini, Mauro (2015) A Bayesian model for stochastic generation of daily precipitation using an upper-bounded distribution function. Stochastic Environmental Research and Risk Assessment, 29 (2). 563-576 doi:10.1007/s00477-014-0880-9
In(2015, February) Stochastic Environmental Research and Risk Assessment Vol. 29 (2) Springer Science and Business Media LLC

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Fernandes, Wilson, Naghettini, Mauro, Loschi, Rosângela (2010) A Bayesian approach for estimating extreme flood probabilities with upper-bounded distribution functions. Stochastic Environmental Research and Risk Assessment, 24 (8). 1127-1143 doi:10.1007/s00477-010-0365-4
Silva, Artur Tiago, Portela, Maria Manuela, Naghettini, Mauro, Fernandes, Wilson (2017) A Bayesian peaks-over-threshold analysis of floods in the Itajaí-açu River under stationarity and nonstationarity. Stochastic Environmental Research and Risk Assessment, 31 (1). 185-204 doi:10.1007/s00477-015-1184-4
Yan, Hongxiang, Moradkhani, Hamid (2015) A regional Bayesian hierarchical model for flood frequency analysis. Stochastic Environmental Research and Risk Assessment, 29 (3). 1019-1036 doi:10.1007/s00477-014-0975-3
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Costa, Veber, Fernandes, Wilson (2017) Bayesian estimation of extreme flood quantiles using a rainfall-runoff model and a stochastic daily rainfall generator. Journal of Hydrology, 554. 137-154 doi:10.1016/j.jhydrol.2017.09.003
Nieto-Barajas, Luis E., Sinha, Tapen (2015) Bayesian interpolation of unequally spaced time series. Stochastic Environmental Research and Risk Assessment, 29 (2). 577-587 doi:10.1007/s00477-014-0894-3
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Cantet, Philippe, Arnaud, Patrick (2014) Extreme rainfall analysis by a stochastic model: impact of the copula choice on the sub-daily rainfall generation. Stochastic Environmental Research and Risk Assessment, 28 (6). 1479-1492 doi:10.1007/s00477-014-0852-0
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Sivakumar, Bellie (2015) Networks: a generic theory for hydrology?. Stochastic Environmental Research and Risk Assessment, 29 (3). 761-771 doi:10.1007/s00477-014-0902-7
 
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